vision.compile_cinematic_scene
Export browser motion table from a CameraPathGraph; optional Blender bake is honest.
This record as markdown: /tools/visionmcp/vision.compile-cinematic-scene.md
What vision.compile_cinematic_scene does on Visionmcp
AI agents invoke vision.compile_cinematic_scene to trigger actions in Visionmcp. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why vision.compile_cinematic_scene is rated High
The tool compiles and exports data from a graph structure and optionally triggers an external Blender bake, which constitutes executing an external operation. The Blender bake especially implies running an external process. It is not purely read (it produces output artifacts) nor destructive (no irreversible deletion mentioned). Execute is the most appropriate category given the external process invocation.
From the tool's definition 'Export browser motion table from a CameraPathGraph; optional Blender bake is honest' — triggers an export/bake operation (external rendering/execution in Blender), not a simple read or write
Attacks that exploit this kind of access
The rule that runs vision.compile_cinematic_scene safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For vision.compile_cinematic_scene, this is the rule to start with:
vision.compile_cinematic_scene stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every vision.compile_cinematic_scene call is checked against it from then on.
Questions about vision.compile_cinematic_scene
Export browser motion table from a CameraPathGraph; optional Blender bake is honest. It is categorised as a Execute tool in the Visionmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vision MCP server in PolicyLayer and add a rule for vision.compile_cinematic_scene: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Visionmcp. Nothing to install.
vision.compile_cinematic_scene is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the vision.compile_cinematic_scene rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for vision.compile_cinematic_scene. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
vision.compile_cinematic_scene is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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